Skip to Main Content
Identifying grain-size dependent errors on global forest area estimates and carbon studiesAuthor(s): Daolan Zheng; Linda S. Heath; Mark J. Ducey
Source: Geophysical Research Letters. 35: L21403. doi:10.1029/2008GL035746
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (193.5 KB)
DescriptionSatellite-derived coarse-resolution data are typically used for conducting global analyses. But the forest areas estimated from coarse-resolution maps (e.g., 1 km) inevitably differ from a corresponding fine-resolution map (such as a 30-m map) that would be closer to ground truth. A better understanding of changes in grain size on area estimation will improve our ability to quantify bias and uncertainty, and provide more accurate estimates of forest area and associated carbon stocks and fluxes. We simulated that global forest area estimated from a 1-km land-cover map (the most practical and finest resolution currently used for global applications) was 947,573 km2 less than that of its corresponding 30-m map (excluding Antarctic and Greenland).
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationZheng, Daolan; Heath, Linda S.; Ducey, Mark J. 2008. Identifying grain-size dependent errors on global forest area estimates and carbon studies. Geophysical Research Letters. 35: L21403. doi:10.1029/2008GL035746
- Modeling grain-size dependent bias in estimating forest area: a regional application
- Satellite detection of land-use change and effects on regional forest aboveground biomass estimates
- Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS
XML: View XML